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  5. Assessment of drought trend and variability in India using wavelet transform

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Article
English
2020

Assessment of drought trend and variability in India using wavelet transform

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English
2020
Hydrological Sciences Journal
Vol 65 (9)
DOI: 10.1080/02626667.2020.1754422

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Manish Kumar Goyal
Manish Kumar Goyal

Indian Institute Of Technology Indorethe Institution

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Ashutosh Sharma
Manish Kumar Goyal

Abstract

This paper presents an analysis of trends in six drought variables at 566 stations across India over the period 1901–2002. Six drought variables were computed using standardized precipitation index (SPI). The Mann-Kendall (MK) trend test and Sen's slope estimator were used for trend analysis of drought variables. Discrete wavelet transform (DWT) was used to identify the dominant periodic components in trends, whereas the significance of periodic components was examined using continuous wavelet transform (CWT) based global wavelet spectrum (GWS). Our results show an increasing trend in droughts in eastern, northeastern and extreme southern regions, and a decreasing trend in the northern and southern regions of the country. The periodic component influencing the trend was 2–4 years in south, 4–8 years in west, east and northeast, 8–64 years in central parts and 32–128 years in the north; however, most of the periodic components were not statistically significant.

How to cite this publication

Ashutosh Sharma, Manish Kumar Goyal (2020). Assessment of drought trend and variability in India using wavelet transform. Hydrological Sciences Journal, 65(9), pp. 1539-1554, DOI: 10.1080/02626667.2020.1754422.

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Publication Details

Type

Article

Year

2020

Authors

2

Datasets

0

Total Files

0

Language

English

Journal

Hydrological Sciences Journal

DOI

10.1080/02626667.2020.1754422

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